Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "10"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 10 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 45 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 43 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 10, Node N02:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459860 digital_ok 100.00% 0.00% 0.00% 0.00% - - 2.894139 1.829972 18.466351 17.469119 6.786616 9.519988 -1.584057 -2.287632 0.6999 0.6632 0.4256 nan nan
2459859 digital_ok 0.00% 0.00% 0.00% 0.00% - - 0.491398 0.163121 1.587275 0.971320 -0.546335 -0.593183 -1.972421 -2.115828 0.7085 0.6652 0.4212 nan nan
2459858 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.945252 0.254012 1.202960 0.448469 0.494772 -1.014940 -2.238617 -2.694415 0.7142 0.6759 0.4327 1.631334 1.385217
2459857 digital_ok 100.00% 100.00% 100.00% 0.00% - - 23.981273 20.614842 -1.584988 -1.644935 6.616830 24.144510 0.730085 0.755770 0.0280 0.0286 0.0006 nan nan
2459856 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.167335 2.739213 17.113305 16.597254 2.260160 8.449722 -0.003449 -2.252530 0.7102 0.6881 0.4200 3.316993 2.987689
2459855 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 75.733829 75.438506 inf inf 4363.406592 4363.252393 4164.445122 4163.350360 0.0113 0.0088 0.0033 0.000000 0.000000
2459854 digital_ok 0.00% 0.00% 0.00% 0.00% 8.93% 0.00% 1.332556 -1.834806 -0.419200 1.427545 1.817472 1.090790 0.992124 1.226959 0.7080 0.7269 0.4472 1.430003 1.313335
2459853 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.354939 -1.398691 -0.480768 2.179571 -0.024237 1.270910 0.760993 0.567422 0.7255 0.6655 0.4436 1.571183 1.390008
2459852 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.679551 -0.413727 -0.529298 2.088841 0.444226 9.337319 2.430296 7.318459 0.8104 0.8172 0.2604 4.687730 5.195400
2459851 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459850 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.285726 -1.455795 -0.805971 -0.169680 1.779394 4.844649 2.720462 8.484891 0.7255 0.7341 0.3681 2.932261 2.751693
2459849 digital_ok 0.00% 0.00% 0.00% 0.00% 16.67% 0.00% -0.216231 -1.450859 -0.427428 -0.934531 -0.233781 2.255605 -0.179287 1.420497 0.7263 0.7282 0.3759 1.419392 1.317231
2459848 digital_ok 0.00% 0.00% 0.00% 0.00% 30.15% 0.00% 0.097102 -0.720190 0.022576 0.770318 -0.235388 2.583331 0.620401 0.626967 0.7019 0.7282 0.3897 1.579200 1.411103
2459847 digital_ok 0.00% 0.00% 0.00% 0.00% 3.21% 0.00% 0.462342 -1.000419 0.105055 0.757076 0.889975 1.148240 0.449540 -0.364151 0.7063 0.6617 0.4471 1.659918 1.459742
2459846 digital_ok 0.00% 0.00% 0.00% 0.00% 33.33% 0.00% 0.230012 -0.866343 0.758440 0.338094 -0.249136 0.806345 0.143336 -0.111791 0.8313 0.6624 0.5159 1.468997 1.349597
2459845 digital_ok 0.00% 0.00% 0.00% 0.00% 16.02% 1.66% -0.658850 -0.529155 0.656920 -0.569334 0.506227 1.045100 0.057052 -0.817350 0.7275 0.7350 0.3919 1.352881 1.301207
2459844 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.745060 1.043563 1.252949 -0.573878 0.611681 2.810546 0.671851 -0.602478 0.0246 0.0248 0.0005 nan nan
2459843 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459839 digital_ok 100.00% - - - - - 16.310688 19.088690 93.745743 102.415053 nan nan -29.231224 -30.920487 nan nan nan nan nan
2459838 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.437601 -0.820176 -0.883160 -0.316914 -0.483368 1.126944 -0.164322 0.031494 0.0948 0.0778 0.0200 6.922731 15.323865
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0353 0.0383 0.0030 nan nan
2459835 digital_ok 100.00% 100.00% 100.00% 0.00% - - 0.517114 -1.008364 -0.031023 -0.975258 5.765379 7.973955 39.721364 28.566460 0.0330 0.0522 0.0019 nan nan
2459833 digital_ok 100.00% 100.00% 100.00% 0.00% - - 3.744096 3.508064 -0.022051 0.895690 9.732769 14.755481 37.434030 38.311506 0.0293 0.0315 0.0009 nan nan
2459832 digital_ok 0.00% 0.00% 29.57% 0.00% 28.95% 0.00% 1.262231 -1.068565 -0.773343 -0.360292 0.354087 0.847330 1.350865 1.986729 0.7442 0.4181 0.5882 1.706412 1.470903
2459831 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.361339 -0.733262 1.019125 0.024895 -0.173231 -0.992856 0.722670 -0.291608 0.0324 0.0401 0.0003 nan nan
2459830 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -1.743747 -0.610572 -0.882400 -0.456120 -0.509707 1.324196 0.724170 0.300614 0.0915 0.0649 0.0120 1.303072 1.300018
2459829 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 3.231626 -1.163740 -0.807659 -0.140742 0.797843 0.605320 2.287715 3.247062 0.0893 0.0718 0.0123 36.312933 30.211786
2459828 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 6.617837 -0.490914 -0.482961 -0.036162 4.163129 3.638256 29.765854 27.160405 0.0845 0.0634 0.0089 12.467905 8.747301
2459827 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.882477 -1.051993 -0.396077 0.915916 1.250097 0.802326 0.775506 -0.384740 0.0901 0.0712 0.0131 1.242944 1.244005
2459826 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -1.329814 -0.656352 -0.588076 0.503748 0.274080 2.075135 2.057956 0.997595 0.0729 0.0725 0.0130 0.000000 0.000000
2459825 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.834176 -0.179971 -1.041468 -0.295205 10.566951 10.882540 4.573496 4.188314 0.0876 0.0699 0.0114 1.260784 1.255267
2459824 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.765149 -0.431301 -0.767454 0.229355 7.922095 7.810270 14.674376 13.410154 0.0995 0.0712 0.0140 0.996788 0.993954
2459823 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.199248 -1.079663 -0.561886 0.515014 -0.704675 0.625826 1.470253 0.845615 0.0768 0.0629 0.0138 0.982258 0.970710
2459822 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.359093 -0.883888 -0.783986 0.220872 -1.003378 1.028444 0.299527 -0.730583 0.0704 0.0704 0.0094 1.283442 1.279007
2459821 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.340915 -0.535002 -0.918776 0.407885 1.315108 1.897746 2.158590 0.456161 0.0882 0.0658 0.0092 1.246942 1.246313
2459820 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.536045 -1.231764 -0.914314 0.459514 -0.326835 1.287798 1.212201 1.852941 0.7397 0.6381 0.4571 1.676047 1.473883
2459817 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.586074 -0.906545 -1.013075 0.159513 -0.331437 0.392736 1.713643 1.268407 0.7827 0.5996 0.5380 1.681469 1.597135
2459816 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.139031 -0.764777 -1.162512 -0.008904 -0.351031 0.260739 2.515742 0.217801 0.8344 0.5560 0.6295 1.834214 1.607911
2459815 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.535116 -0.674818 -1.090450 -0.165912 -0.449308 -0.609965 3.356802 0.519143 0.7700 0.6045 0.5438 1.882574 1.735115
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 10: 2459860

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Power 18.466351 2.894139 1.829972 18.466351 17.469119 6.786616 9.519988 -1.584057 -2.287632

Antenna 10: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Power 1.587275 0.491398 0.163121 1.587275 0.971320 -0.546335 -0.593183 -1.972421 -2.115828

Antenna 10: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Shape 2.945252 0.254012 2.945252 0.448469 1.202960 -1.014940 0.494772 -2.694415 -2.238617

Antenna 10: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 24.144510 20.614842 23.981273 -1.644935 -1.584988 24.144510 6.616830 0.755770 0.730085

Antenna 10: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Power 17.113305 3.167335 2.739213 17.113305 16.597254 2.260160 8.449722 -0.003449 -2.252530

Antenna 10: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Power inf 75.438506 75.733829 inf inf 4363.252393 4363.406592 4163.350360 4164.445122

Antenna 10: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Temporal Variability 1.817472 -1.834806 1.332556 1.427545 -0.419200 1.090790 1.817472 1.226959 0.992124

Antenna 10: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Power 2.179571 -1.398691 0.354939 2.179571 -0.480768 1.270910 -0.024237 0.567422 0.760993

Antenna 10: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 9.337319 2.679551 -0.413727 -0.529298 2.088841 0.444226 9.337319 2.430296 7.318459

Antenna 10: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 10: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Discontinuties 8.484891 0.285726 -1.455795 -0.805971 -0.169680 1.779394 4.844649 2.720462 8.484891

Antenna 10: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 2.255605 -0.216231 -1.450859 -0.427428 -0.934531 -0.233781 2.255605 -0.179287 1.420497

Antenna 10: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 2.583331 -0.720190 0.097102 0.770318 0.022576 2.583331 -0.235388 0.626967 0.620401

Antenna 10: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 1.148240 -1.000419 0.462342 0.757076 0.105055 1.148240 0.889975 -0.364151 0.449540

Antenna 10: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 0.806345 0.230012 -0.866343 0.758440 0.338094 -0.249136 0.806345 0.143336 -0.111791

Antenna 10: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 1.045100 -0.529155 -0.658850 -0.569334 0.656920 1.045100 0.506227 -0.817350 0.057052

Antenna 10: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 2.810546 -0.745060 1.043563 1.252949 -0.573878 0.611681 2.810546 0.671851 -0.602478

Antenna 10: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 10: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Power 102.415053 19.088690 16.310688 102.415053 93.745743 nan nan -30.920487 -29.231224

Antenna 10: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Shape 1.437601 -0.820176 1.437601 -0.316914 -0.883160 1.126944 -0.483368 0.031494 -0.164322

Antenna 10: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Temporal Discontinuties 39.721364 -1.008364 0.517114 -0.975258 -0.031023 7.973955 5.765379 28.566460 39.721364

Antenna 10: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Discontinuties 38.311506 3.508064 3.744096 0.895690 -0.022051 14.755481 9.732769 38.311506 37.434030

Antenna 10: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Discontinuties 1.986729 1.262231 -1.068565 -0.773343 -0.360292 0.354087 0.847330 1.350865 1.986729

Antenna 10: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Power 1.019125 0.361339 -0.733262 1.019125 0.024895 -0.173231 -0.992856 0.722670 -0.291608

Antenna 10: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 1.324196 -1.743747 -0.610572 -0.882400 -0.456120 -0.509707 1.324196 0.724170 0.300614

Antenna 10: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Discontinuties 3.247062 -1.163740 3.231626 -0.140742 -0.807659 0.605320 0.797843 3.247062 2.287715

Antenna 10: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Temporal Discontinuties 29.765854 -0.490914 6.617837 -0.036162 -0.482961 3.638256 4.163129 27.160405 29.765854

Antenna 10: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Temporal Variability 1.250097 -0.882477 -1.051993 -0.396077 0.915916 1.250097 0.802326 0.775506 -0.384740

Antenna 10: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 2.075135 -0.656352 -1.329814 0.503748 -0.588076 2.075135 0.274080 0.997595 2.057956

Antenna 10: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 10.882540 -0.179971 -0.834176 -0.295205 -1.041468 10.882540 10.566951 4.188314 4.573496

Antenna 10: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Temporal Discontinuties 14.674376 1.765149 -0.431301 -0.767454 0.229355 7.922095 7.810270 14.674376 13.410154

Antenna 10: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Temporal Discontinuties 1.470253 -1.079663 0.199248 0.515014 -0.561886 0.625826 -0.704675 0.845615 1.470253

Antenna 10: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Variability 1.028444 -0.359093 -0.883888 -0.783986 0.220872 -1.003378 1.028444 0.299527 -0.730583

Antenna 10: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Temporal Discontinuties 2.158590 -0.535002 0.340915 0.407885 -0.918776 1.897746 1.315108 0.456161 2.158590

Antenna 10: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Temporal Discontinuties 1.852941 -1.536045 -1.231764 -0.914314 0.459514 -0.326835 1.287798 1.212201 1.852941

Antenna 10: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Temporal Discontinuties 1.713643 -1.586074 -0.906545 -1.013075 0.159513 -0.331437 0.392736 1.713643 1.268407

Antenna 10: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Temporal Discontinuties 2.515742 -0.764777 0.139031 -0.008904 -1.162512 0.260739 -0.351031 0.217801 2.515742

Antenna 10: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok ee Temporal Discontinuties 3.356802 -0.674818 -0.535116 -0.165912 -1.090450 -0.609965 -0.449308 0.519143 3.356802

Antenna 10: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 10: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
10 N02 digital_ok nn Shape nan nan nan inf inf nan nan nan nan
In [ ]: